# Join NVIDIA at NeurIPS 2025

December 2–7  
 San Diego Convention Center  
 San Diego, CA

## Discover What’s Possible With NVIDIA AI

At the forefront of AI innovation, NVIDIA continues to push the boundaries of technology in machine learning, self-driving cars, robotics, graphics, simulation, and more.

## NVIDIA Research at NeurIPS

## Launching Legends

**Turn Your Research Into a Startup**

Join Launching Legends at NeurIPS to transform your technological advancements into a world-changing startup. Connect with a supportive network of venture capital investors, industry mentors, and NVIDIA partners to launch your own company at this premier event.

[RSVP For Launching Legends](https://nvevents.nvidia.com/launchinglegendsatneurips)

## NVIDIA Research

Discover our most recent AI research and the new capabilities deep learning brings to visual and audio applications. Explore the latest innovations and see how you can bring them into your own work.

[Explore Here](https://www.nvidia.com/en-us/research.md)

## Fuel AI Development With Open-Source AI

### NVIDIA Nemotron

Learn how open-source AI technology like NVIDIA Nemotron™ provides the transparency and trust businesses need to successfully adopt AI.

[Read the Blog](https://blogs.nvidia.com/blog/nemotron-open-source-ai/?ncid=em-even-798228)

### Reinforcement Learning Pretraining (RLP)

Bring reinforcement learning directly into the pretraining stage, rewarding models for generating useful chains-of-thought (CoT) that actually help predict future tokens.

[Read the Paper](https://research.nvidia.com/labs/adlr/RLP/)

### How Open Source Makes AI Better

Hear from NVIDIA leaders Bryan Catanzaro and Jonathan Cohen about why open source isn't just an option, but the essential engine for solving your toughest enterprise problems.

[Listen to the Podcast](https://open.spotify.com/episode/3ZCMYtBVKfRidwL4wlLf5b?si=nrcJBjUKSc-aTRr2daIU6Q)

## Advancements in Physical AI

### World Models

[NVIDIA Cosmos™](https://www.nvidia.com/en-us/ai/cosmos.md) is a platform purpose-built for physical AI, featuring state-of-the-art generative world foundation models, guardrails, and an accelerated data processing and curation pipeline.

[Learn More](https://research.nvidia.com/publication/2025-09_world-simulation-video-foundation-models-physical-ai)
[Get Started With Predict 2.5](https://github.com/nvidia-cosmos/cosmos-predict2.5)
[Get Started With Transfer 2.5](https://github.com/nvidia-cosmos/cosmos-transfer2.5)

### Robotics Research and Development Digest

Discover the R²D² blog for insights into robotics AI breakthroughs and advanced workflows, and leverage the  [NVIDIA Isaac™](https://developer.nvidia.com/isaac) platform for simulation tools to speed up your robotics research and take on real-world challenges.

[Read the Robotics Research and Development Digest (R²D²)](https://developer.nvidia.com/blog/tag/robotics-research-development-digest-r2d2/)

![ NVIDIA Omniverse](https://images.nvidia.com/aem-dam/en-zz/Solutions/events/neurips/ov-newsletter-gtc-paris-25av-sim-workflow-600x338-r7-1-1.gif " NVIDIA Omniverse")

### Accelerate AV Simulation with Neural Reconstruction and World Foundation Models

NVIDIA’s Omniverse and Cosmos platforms leverage neural reconstruction, foundation models, and advanced data workflows to drive autonomous vehicle simulation and validation, enabling scalable generation, curation, and diversification of synthetic sensor datasets for AI research and deployment.

[Read the Blog](https://developer.nvidia.com/blog/accelerating-av-simulation-with-neural-reconstruction-and-world-foundation-models/)

## Healthcare and Life Science Breakthroughs

### La-Proteina

La-Proteina is the first generative model that demonstrates accurate codesign of fully atomistic protein structures at scale, up to 800 residues, with state-of-the-art atomistic motif scaffolding performance.

[Learn More](https://arxiv.org/abs/2507.09466)

### KERMT

Kinetic GROVER Multi-Task (KERMT), an enhanced reimplementation of the GROVER model, uses PyTorch Distributed Data Parallel for distributed pretraining, automates hyperparameter tuning, and accelerates fine-tuning and prediction using cuik-molmaker.

[Learn More](https://github.com/NVIDIA-Digital-Bio/KERMT)

### nvMolKit

nvMolKit is a GPU-accelerated cheminformatics library developed and designed to significantly speed up molecular computation tasks common in computational chemistry and drug discovery.

[Learn More](https://research.nvidia.com/labs/dbr/blog/nvMolKit/)

### Protein Structure Prediction

When combined with MMseqs2-GPU on an x86 system with one NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU, deep learning inference with OpenFold and TensorRT™ is up to 131x faster.

[Learn More](https://research.nvidia.com/labs/dbr/assets/data/manuscripts/fast_folding.pdf)

## Financial Services

### Accelerating Portfolio Optimization

Learn how to transform sequential optimization algorithms into parallel ones that can leverage GPU acceleration to efficiently manage complex, high-dimensional investment portfolios.

[Watch On-Demand Session](https://www.nvidia.com/en-us/on-demand/session/gtc25-dlit71690/?playlistId=playList-c19dfa77-e8aa-4592-b0b6-39a7fa048177)

### Accelerating Algorithmic Trading Simulations Over 100x With Numba

See how Numba on NVIDIA H200 Tensor Core GPUs increased performance of computational simulations of financial markets by up to 114x compared to CPU-only simulations.

[Read Blog](https://resources.nvidia.com/en-us-financial-services-industry/gpu-accelerate-algorithmic)

### How Nasdaq Is Driving Faster Insights and Smarter Investment Decisions With AI

Discover how Nasdaq is accelerating financial insights and boosting AI performance with NVIDIA NeMo™ Retriever and NIM™. Learn how scalable AI improves response time, accuracy, and cost efficiency.

[Read Case Study](https://resources.nvidia.com/en-us-financial-services-industry/nasdaq)

### Streamlining Trade Capture and Evaluation With Self-Correcting AI Workflows

Learn how developers in capital markets can streamline trade capture and evaluation with self-correcting AI workflows with NVIDIA NIM.

[Read Blog](https://resources.nvidia.com/en-us-financial-services-industry/streamline-trade-capture-and-evaluation-with-self-correcting-ai-workflows)

## NVIDIA Developer Resources and Community

### NVIDIA Training and Certification

Develop practical skills and validate your expertise with hands-on, self-paced courses, instructor-led workshops, and technical certifications.

[Start Learning](https://www.nvidia.com/en-us/training.md)

### Access SDKs, Training, and Connect With Experts

Take advantage of 600+ SDKs, AI models, free training, forums, and tech resources to accelerate your work and advance your skills. For a limited time, we're offering a complimentary self-paced training course to new members of our NVIDIA Developer Program.

[Join the NVIDIA Developer Program](https://developer.nvidia.com/developer-program)

### For Startups Building What’s Next in AI

Explore NVIDIA Inception, a free program that guides AI startups through the NVIDIA platform and ecosystem. From prototype to production, Inception meets you where you are, with member benefits to help you discover new AI opportunities, build with world-class technologies, and grow your business.

[Apply for the NVIDIA Inception Program](https://www.nvidia.com/en-us/startups.md)

## Meet Inception Startups at NeurlPS 2025

[Boson AI](https://boson.ai/)

[Cartesia](https://cartesia.ai/sonic)

[Datacurve](https://datacurve.ai/)

[Dystyl AI](https://distyl.ai/)

[Emmi AI](https://www.emmi.ai)

[Lightly](https://www.lightly.ai/)

[Lightly AG](https://www.lightly.ai/)

[Liquid AI](https://liquid.ai/)

[Ollama](https://ollama.com/)

[Optiver](https://optiver.com/)

[Poolside](https://poolside.ai/)

[Pruna AI](https://www.pruna.ai/)

[Sanctuary AI](https://www.sanctuary.ai/)

[Simular](https://www.simular.ai/)

[Sonic Jobs](https://www.sonicjobs.com/us)

[Together AI](https://www.together.ai/)

[Turing](https://www.turing.com/)

[Writer AI](https://writer.com/)

## Like No Place You’ve Ever Worked

At NVIDIA, you’ll work on advancing the frontiers of AI, accelerated computing, and large-scale systems. Our teams develop the models, algorithms, and infrastructure driving breakthroughs in fields ranging from generative AI and robotics to autonomous vehicles, computational healthcare, and beyond. Our engineers and researchers tackle challenges in high-performance computing, computer vision, and deep learning optimization that impact real-world applications at global scale.

Explore our open roles, including internships and new college graduate positions, and help shape the next generation of AI technologies.

[Check Out Open Positions](https://nvidia.eightfold.ai/careers?source=eventneurips2025)

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[Subscribe](https://www.nvidia.com/en-us/preferences/email-signup.md)